- Title
- Integer programming models and algorithms for molecular classification of cancer from microarray data
- Creator
- Berretta, Regina; Mendes, Alexandre; Moscato, Pablo
- Relation
- Twenty Eighth Australasian Computer Science Conference (ACSC 2005). Proceedings of the Twenty Eighth Australasian Computer Science Conference (ACSC 2005) (Newcastle, N.S.W. 31 January - 3 February, 2005) p. 361-370
- Relation
- http://crpit.com/abstracts/CRPITV38Berretta.html
- Publisher
- Australian Computer Society published in association with the ACM Digital Library
- Resource Type
- conference paper
- Date
- 2005
- Description
- Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciencesresearchers the opportunity to simultaneously measure thousands of gene expression levels under different conditions or coming from different cell lines. With appropriate data mining models and algorithms, this would lead to a systematic exploration of molecular classification of cancer, just one among many other exciting applications. The aim of this paper is to present a unified mathematical formalization for different feature selection problems and investigate their performance in classification of cancer cell-lines. We also present some results using the NCI60 dataset.
- Subject
- data mining; feature selection; combinatorial optimisation; NCI60
- Identifier
- http://hdl.handle.net/1959.13/921199
- Identifier
- uon:9263
- Identifier
- ISBN:1920682201
- Identifier
- ISSN:1445-1336
- Language
- eng
- Full Text
- Reviewed
- Hits: 1778
- Visitors: 2501
- Downloads: 394
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 251 KB | Adobe Acrobat PDF | View Details Download |